Logo
Akkodis

Machine Learning Engineer

Akkodis, New York, New York, United States

Save Job

Get AI-powered advice on this job and more exclusive features. This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$85.00/hr - $90.00/hr Direct message the job poster from Akkodis Hope you are doing well, I am Satender from Akkodis Group, my client is hiring for below role let me know if you are available. Contract: 6 months contract(With extension possibility) Pay: $85-$90\hr(The rate may be negotiable based on experience, education, geographic location, and other factors.) Hybrid 2 days onsite and 3 days remote per week We are seeking a Senior AI/ML developer, with technical depth, good requirement analysis, project management and excellent documentation skills who can help our finance risk management team develop Data and AI solutions to automate control testing procedures and identify trends/anomalies in data Basic Qualification: Strong proficiency in SQL and Python for data analysis. Hands-on experience and advanced prompt engineering techniques with Large Language Models (e.g., OpenAI, Gemini, Anthropic, Mistral). Experience building AI-powered workflows, preferably with LangChain or LangGraph. Comfort with data science tools such as Jupyter Notebooks, Pandas, and other common Python libraries. Experience building web/data apps using Flask and/or Streamlit. Working knowledge of statistics, data validation, and anomaly detection techniques Experience with Data visualization tools(Tableau) Excellent communication and interpersonal skills, with the ability to collaborate with a wide range of stakeholders. Solid project management experience, including the ability to build projects from scratch independently. Ability to work proactively and independently in a fast-paced environment. Preferred Qualifications: Experience with evaluating AI models, using tools like OpenAI Evals, LangSmith, or custom evaluation frameworks Experience in developing automation/technology solutions for Finance, Risk & Audit teams Prior experience in internal developer ecosystem, including Databook, Querybuilder, Michelangelo, uWorc and internal automation pipelines. What You'll do: Spearhead the design and implementation of automation solutions to enhance the control environment's efficiency. Continuously identify opportunities to leverage automation, analytics, and AI/ML capabilities for process optimization. Construct queries and scripts to transform raw data into actionable insights. Develop and maintain data analytics models and tools to recognize and evaluate key organizational risks. Design data visualizations and dashboards that align with business needs. Provide data-driven recommendations to enhance risk management processes. Take full responsibility for the development and project tracking of deliverables from initiation to completion. Contribute to the advancement of Gen AI prototypes, prompt designs, and model evaluation frameworks to foster ongoing innovation. Assist with regular operational tasks as needed and requested by stakeholders. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance Formerly Modis, an Adecco Group Company Satender Singh Bisht Resource Development Manager M

+1 610 979 9123 Seniority level

Seniority level Mid-Senior level Employment type

Employment type Contract Job function

Job function Information Technology Industries Freight and Package Transportation, IT Services and IT Consulting, and Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Akkodis by 2x Get notified about new Machine Learning Engineer jobs in

San Francisco, CA . San Francisco, CA $160,000.00-$180,000.00 2 weeks ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $150,000.00-$250,000.00 2 weeks ago Full-Stack Software Engineer (Jr/Mid level)

San Francisco, CA $120,000.00-$180,000.00 1 month ago San Francisco, CA $150,000.00-$230,000.00 3 months ago Software Development Engineer I - Frontend & Mobile

San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $120,000.00-$190,000.00 9 months ago San Francisco, CA $57.00-$61.00 2 days ago San Francisco, CA $57.00-$61.00 2 days ago San Francisco, CA $125,000.00-$175,000.00 2 months ago San Francisco, CA $163,200.00-$223,200.00 2 weeks ago Software Engineer, Frontend (All Levels)

San Francisco, CA $150,000.00-$180,000.00 5 days ago Software Engineer, AI Intern (Winter 2026)

San Francisco, CA $57.00-$61.00 2 days ago Software Engineer, AI Intern (Summer 2026)

San Francisco, CA $57.00-$61.00 2 days ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $120,000.00-$200,000.00 2 years ago Alameda, CA $130,000.00-$160,000.00 2 months ago San Francisco, CA $140,000.00-$280,000.00 8 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr